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Top 8 Data Quality

SAP Data ServicesSAS Data ManagementSAP Information StewardInformatica Data QualityTalend Data QualityMelissa Data QualityInformatica Cloud Data QualityIBM Infosphere Information Analyzer
  1. leader badge
    It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements.
  2. Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools.
  3. Buyer's Guide
    Data Quality
    September 2022
    Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: September 2022.
    633,572 professionals have used our research since 2012.
  4. Data insight is the most valuable feature.The data profiling was excellent, as was the ease of generating the dashboards.
  5. There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.
  6. The solution is customizable.It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across dif
  7. Address parsing. Our other software does not have this functionality.Getting the most up to date address for our members. We like to keep in touch with membership a few times a year so we want to maintain up to date addresses to be sure they receive any information that we mail to them.
  8. report
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  9. The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based. Initial setup was fairly easy.
  10. What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn.

Data Quality Articles

Manoj Narayanan - PeerSpot reviewer
Manoj Narayanan
Practice Director - Digital & Analytics Practice at HCL Technologies
Aug 12 2022
What is a data mesh? For decades, entrprises have just stored and stored data without really having any ways of cataloguing making it difficult to use the same data for a good reason. The issues include difficulty in discovering relevant data, not being able to democratize data and use it for bu...
Read More »
reviewer1925439 - PeerSpot reviewer
Manager at HCL Technologies
Jul 26 2022
Why Data Quality Is Important Every organization needs good data quality to ensure the right business decisions are made. These days organizations are adopting new data cleansing strategies to elevate and ensure the quality of enterprise data used for analytical purposes. Data Quality can also...
Read More »
Buyer's Guide
Data Quality
September 2022
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: September 2022.
633,572 professionals have used our research since 2012.